I see in mongodb aggregations, specially in $group we can use accumulator to create new fields. But i want the old keys
Suppose i have this data
[
{ name: "My Plan 101", billingCycle: 'day', amount: 1, credits: 100, price: 7 },
{ name: "My Plan 102", billingCycle: 'day', amount: 1, credits: 150, price: 10 },
{ name: "My Plan 103", billingCycle: 'day', amount: 2, credits: 150, price: 15 },
{ name: "My Plan 104", billingCycle: 'month', amount: 3, credits: 150, price: 15 },
{ name: "My Plan 105", billingCycle: 'month', amount: 3, credits: 200, price: 20 },
]
Then the aggregation should be like
[
'day': {
'1': [{ name: 'My Plan 101' }, { name: 'My Plan 102' }],
'2': [{ name: 'My Plan 103' }]
},
'month': {
'3': [{ name: 'My Plan 104' }, { name: 'My Plan 105' }]
}
]
I tried a lot with mongodb aggregation but couldn't solve it so I used lodash for this.
let plans = await Plan.find()
plans = _.groupBy(plans, 'billingCycle');
for (const billingCyle in plans) {
let $plans = plans[billingCyle];
plans[billingCyle] = _.groupBy($plans, "amount")
}
console.log(plans)
The above snipped has solved my problem
Related
Data:
_id: ObjectId(''),
restaurantId: ObjectId(''),
orderId: ObjectId(''),
reviews: [
{
type: "food",
tags: ["good food", "nice food"]
},
{
type: "pricing",
tags: ["best price", "good price"]
}
]
Group by restaurant id
Get total reviews by type: Ex: food: 3, pricing: 2, ambience: 1
Group by type and tags and get counts:
Ex: food-superb: 1, food-loudt:2, pricing-superb: 2, ambience-superb: 1
Expected result:
{
_id: restaurantId,
types: {
food: 4,
....
},
tags: {
nicePrice: 20
}
}
My first question. Tried to find the answer but couldn't.
I have a dataset like the following:
{
_id: "6294d59455be467837cb6262",
text: 'Primeiro post',
image: '15bee21f99c0c879ecee4633f25eaa91',
width: 327,
height: 245,
location: 'Porto Alegre, Rio Grande do Sul',
poster: { name: 'J R', avatar: 'c633219c7fbacd09db9a9d54986b36b9' },
reactions: [
{ filename: 'image1', userId: 23 },
{ filename: 'image2', userId: 12 },
]
},
{
_id: "6294d59455be656589cb62825",
text: 'Segundo post',
image: '15bee21f99c0c879ecee4633f25423sgf',
width: 327,
height: 245,
location: 'Porto Alegre, Rio Grande do Sul',
poster: { name: 'J R', avatar: 'c633219c7fbacd09db9a9d54986b36b9' },
reactions: [
{ filename: 'image3', userId: 23 },
{ filename: 'image2', userId: 12 },
{ filename: 'image2', userId: 56 },
{ filename: 'image7', userId: 9 },
]
},
...
I want to retrieve all the fields, along with 2 things:
if the userId passed to the query is on the userId of the array 'reactions' - that's done in the reactionsByMe field I created with a $filter (query below);
group by 'filename' with the quantity on each of the registers that are returned;
I have the following working aggregate query:
[
{ $match: { 'createdBy.companyId': req.userInfo.companyId, type: 'post' } },
{
$project: {
reactionsByMe: {
$filter: {
input: '$reactions',
as: 'reaction',
cond: { $eq: ['$$reaction.userId', req.userInfo.userId] }
},
},
text: 1,
image: 1,
width: 1,
height: 1,
location: 1,
poster: 1,
}
},
]
I just don't know how to make a group inside the $project.
Any help appreciated! Thanks.
Edit: the expected output:
{
_id: "6294d59455be467837cb6262",
text: 'Primeiro post',
image: '15bee21f99c0c879ecee4633f25eaa91',
width: 327,
height: 245,
location: 'Porto Alegre, Rio Grande do Sul',
poster: { name: 'J R', avatar: 'c633219c7fbacd09db9a9d54986b36b9' },
reactions: [
{ _id: 'image1', count: 3 },
{ _id: 'image2', count: 5 },
]
}
With the "reactions" property giving me the total of each image in each document
I am very new to mongoDB and mongoose and I also know questions like this has been already asked but still I didn't get any luck.
So what I am trying to do is I have 2 collections one is products and second is categories and I am trying to get the products that are of category type: fruits
product.model.js
const mongoose = require('mongoose')
const productSchema = new mongoose.Schema({
category: {
type: mongoose.Schema.Types.ObjectId,
ref: 'Category'
},
name: {
type: String,
required: true,
unique: true
},
price: {
type: Number,
required: true
},
image: {
type: String,
required: true
},
description: {
type: String,
required: true
}
})
const Product = mongoose.model('Product', productSchema)
module.exports = Product
category.model.js
const mongoose = require('mongoose')
const categorySchema = new mongoose.Schema({
name: {
type: String,
required: true,
unique: true,
lowercase: true
}
})
const Category = mongoose.model('Category', categorySchema)
module.exports = Category
products collecction
[ { _id: 5ffc9795355f3707ec326f51,
name: 'apple',
price: 80,
image: 'apple1.jpg',
description:
'Do you really need description for this ??',
category: 5ffc94e8a7542a37101a119c,
__v: 0 },
{ _id: 5ffd54409793c33b183376b8,
name: 'Beef',
price: 180,
image: 'beef1.jpg',
description: 'Don\'t you dare to ask about beef in india',
category: 5ffc94dda7542a37101a119b,
__v: 0 },
{ _id: 5ffd54969793c33b183376b9,
name: 'Mango',
price: 100,
image: 'mango1.jpg',
description:
'Have some manog because you cannot eat the bottle of slice like katrina kaif do, its crazy',
category: 5ffc94e8a7542a37101a119c,
__v: 0 } ]
categories collection
[ { _id: 5ffc947ea7542a37101a119a, name: 'vegitables', __v: 0 },
{ _id: 5ffc94dda7542a37101a119b, name: 'non-veg', __v: 0 },
{ _id: 5ffc94e8a7542a37101a119c, name: 'fruits', __v: 0 } ]
Now I want to the get the products whose category are fruits
I know I have to use aggregation and lookup for this I also tried but didn't get any luck, this is my code
const Product = require('./models/product')
const Category = require('./models/category')
const test = async () => {
try {
var query = [
{
$lookup: {
from: "product",
localField: "category",
foreignField: "_id",
as: "product"
}
}]
const productCate = await Product.aggregate(query)
console.log(productCate)
// const productCat = await Product.find().populate({
// path: 'category',
// match: {name: 'fruits'}
// }).exec()
// console.log(productCat)
}catch(e) {
}
}
test()
UPDATE-1
I also tried ppuplate but still didn't get the response as expected, this is my code:
const test = async () => {
try {
const productCat = await Product.find().populate({
path: 'category',
match: {name: 'fruits'}
}).exec()
console.log(productCat)
}catch(e) {
}
}
test()
this is my output
[ { _id: 5ffc9795355f3707ec326f51,
name: 'apple',
price: 80,
image: 'apple1.jpg',
description:
'Do you really need description for this, how dumb are you ??',
category: { _id: 5ffc94e8a7542a37101a119c, name: 'fruits', __v: 0 },
__v: 0 },
{ _id: 5ffd54409793c33b183376b8,
name: 'Beef',
price: 180,
image: 'beef1.jpg',
description: 'Don\'t you dare to ask about beef in india',
category: null,
__v: 0 },
{ _id: 5ffd54969793c33b183376b9,
name: 'Mango',
price: 100,
image: 'mango1.jpg',
description:
'Have some manog because you cannot eat the bottle of slice like katrina kaif do, its crazy',
category: { _id: 5ffc94e8a7542a37101a119c, name: 'fruits', __v: 0 },
__v: 0 } ]
Here I also get the beef that is fall under non-veg category but with the category null. Actually I only want the fruits category products.
you can following this code
const test = async () => {
try {
let categoryId = await Category.findOne({name:"fruits"}).select("_id")
const productCat = await Product.find({category:categoryId}).populate(
"category"
).lean()
console.log(productCat)
}catch(e) {
}
}
test()
you can do with with populate match without using aggregation:
Product.find().populate({
path: 'category',
match: { 'name': 'fruits' }
})
.exec()
I have seen this asked several times, but I haven't found a solution that has worked. I am trying to query a MongoDB using Mongoose .findById and am not getting the expected results. find({id: "..."}) is also not returning anything.
Using find without any parameters displays all of the expected results including id key-value pairs, but I cannot use the id value in the query.
Using mongoose: 5.4.9
const mongoose = require('mongoose');
mongoose.connect('mongodb://localhost/mongo-exercises', { useNewUrlParser: true });
const courseSchema = new mongoose.Schema({
name: String,
author: String,
tags: [String],
date: { type: Date, default: Date.now },
isPublished: Boolean,
price: Number
});
const Course = mongoose.model('Course', courseSchema);
async function getCourses() {
return await Course
.find()
}
async function run() {
const result = await getCourses();
console.log(result);
}
run();
//Return
[ { tags: [ 'react', 'frontend' ],
_id: 5a68fdf95db93f6477053ddd,
date: 2018-01-24T21:43:21.589Z,
name: 'React Course',
author: 'Mosh',
isPublished: false,
__v: 0 },
{ tags: [ 'aspnet', 'backend' ],
_id: 5a68fde3f09ad7646ddec17e,
date: 2018-01-24T21:42:59.605Z,
name: 'ASP.NET MVC Course',
author: 'Mosh',
isPublished: true,
price: 15,
__v: 0 },
{ tags: [ 'node', 'backend' ],
_id: 5a68fe2142ae6a6482c4c9cb,
date: 2018-01-24T21:44:01.075Z,
name: 'Node.js Course by Jack',
author: 'Jack',
isPublished: true,
price: 12,
__v: 0 },
{ tags: [ 'node', 'backend' ],
_id: 5a68fdd7bee8ea64649c2777,
date: 2018-01-24T21:42:47.912Z,
name: 'Node.js Course',
author: 'Mosh',
isPublished: true,
price: 20,
__v: 0 },
{ tags: [ 'node', 'backend' ],
_id: 5a68ff090c553064a218a547,
date: 2018-01-24T21:47:53.128Z,
name: 'Node.js Course by Mary',
author: 'Mary',
isPublished: false,
price: 12,
__v: 0 },
{ tags: [ 'angular', 'frontend' ],
_id: 5a6900fff467be65019a9001,
date: 2018-01-24T21:56:15.353Z,
name: 'Angular Course',
author: 'Mosh',
isPublished: true,
price: 15,
__v: 0 },
{ tags: [ 'express', 'backend' ],
_id: 5a68fdc3615eda645bc6bdec,
date: 2018-01-24T21:42:27.388Z,
name: 'Express.js Course',
author: 'Mosh',
isPublished: true,
price: 10,
__v: 0 } ]
That code verifies I'm connected to the correct database and retrieving real ids. When I modify the getCourses function as shown below, I get null or an empty array depending on whether I use findById or find({id: "..."}).
async function getCourses() {
return await Course
.findById('5a68fdf95db93f6477053ddd')
}
//null
async function getCourses() {
return await Course
.find({ id: '5a68fdf95db93f6477053ddd' })
}
// []
async function getCourses() {
return await Course
.find({ _id: '5a68fdf95db93f6477053ddd' })
}
// []
Any help would be greatly appreciated. Thank you!
EDIT: Showing full find() response.
Upon our discussion as your importing the data from JSON file, So its inserting the _id as string, While finding the document by _id, moognoose automatically converting string to Object.
// Original JSON
{
"_id": "5a68fde3f09ad7646ddec17e",
"tags": [
"aspnet",
"backend"
],
"date": "2018-01-24T21:42:59.605Z",
"name": "ASP.NET MVC Course",
"author": "Mosh",
"isPublished": true,
"price": 15,
"__v": 0
}
Solution 1 :
To insert the _id as in the JSON, change your _id field with $oid as below,
{
"_id": { "$oid": "5a68fde3f09ad7646ddec17e" },
"tags": [
"aspnet",
"backend"
],
"date": "2018-01-24T21:42:59.605Z",
"name": "ASP.NET MVC Course",
"author": "Mosh",
"isPublished": true,
"price": 15,
"__v": 0
}
Solution 2 :
Remove _id from your JSON, MongoDB will generate a _id automatically
{
"tags": [
"aspnet",
"backend"
],
"date": "2018-01-24T21:42:59.605Z",
"name": "ASP.NET MVC Course",
"author": "Mosh",
"isPublished": true,
"price": 15,
"__v": 0
}
I'm trying to make something similar to Trello.com. There will be many boards, and each board can have many lists, and each lists can have many items. The order of the lists and items can change often by the user, so I came up with something like this that would minimize queries. I just read some of the mongo documentation last night so I would appreciate any feedbacks and suggestions
Here is a list of boards:
{
boards: [
{
_id: 901292190
name: 'board1'
}
]
}
Here is when you view a single board:
{
_id: 901292190
name: 'board 1',
lists: [
{
_id: 932092,
name: 'todo',
items: [
{
_id: 9320903,
name: 'go shopping',
priority: 1,
createdby: 'user1',
assignedto: 'user2'
},
{
_id: 3902901,
name: 'go to school',
priority: 2,
createdby: 'user1',
assignedto: 'user2'
}
]
},
{
name: 'finished',
items: [
{
_id: 91209,
name: 'programming',
priority: 1,
createdby: 'user1',
assignedto: 'user2'
}
]
}
]
}